TIL: Caveman – Context Compression and File Bundling for AI Workflows
Repository: github.com/juliusbrussee/caveman
Topic: Context Engineering & Developer Tooling
Came across Caveman, a lightweight CLI utility designed to streamline how source code and project context are fed into LLMs and coding assistants.
Key Takeaways & Production Utility:
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Context Efficiency: It bundles relevant directory files into clean, structured context payloads, reducing prompt noise and token overhead.
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Developer Workflow: Helps bridges the gap when feeding targeted codebase snippets to CLI tools (like Claude Code) or API scripts without manually copy-pasting files.
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Use Case: Ideal for rapid repository analysis and prepping context windows for LLM code generation tasks.